Information Potential Auto-Encoders

Emergence of simple-cell receptive field properties by learning a sparse code for natural images

B. Olshausen and D. Field · 1996

Earlier work this paper cites.

The information bottleneck method

N. Tishby, F. C. Pereira, and W. Bialek · 1999

Earlier work this paper cites.

Feature extraction by non parametric mutual information maximization

Kari Torkkola · 2003

Earlier work this paper cites.

Information bottleneck for gaussian variables

Gal Chechik, Amir Globerson, Naftali Tishby, and Yair Weiss · 2005

Earlier work this paper cites.

Learning and generalization with the information bottleneck

Ohad Shamir, Sivan Sabato, and Naftali Tishby · 2008

Earlier work this paper cites.

Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion

Original

Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, and Pierre-Antoine Manzagol · 2010

Cited alongside, same era.

Information theoretic learning with infinitely divisible kernels

Luis Gonzalo Sánchez Giraldo and José C. Príncipe · 2013

Cited alongside, same era.

Rate-distortion auto-encoders

Luis Gonzalo Sánchez Giraldo and José C. Príncipe · 2014

Cited alongside, same era.

Generative adversarial nets

Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014

Cited alongside, same era.

Auto-Encoding Variational Bayes

D. P Kingma and M. Welling · 2014

Cited alongside, same era.

Adam: A method for stochastic optimization

Original

Diederik Kingma and Jimmy Ba · 2014

Later among the works it cites.

Winner-take-all autoencoders

Alireza Makhzani and Brendan J Frey · 2015

Later among the works it cites.

Deep variational information bottleneck

Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, and Kevin Murphy · 2017

Closest in time.

beta-vae: Learning basic visual concepts with a constrained variational framework

Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2017

Closest in time.